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D ETECTION AND I SOLATION OF A S ENSOR D RIFT F AULT

D ETECTION AND I SOLATION OF A S ENSOR D RIFT F AULT. Yilun Zhou Prof. Thomas Parisini Imperial College London. Introduction. Background Complex c ontrol systems and demand for fault tolerance Process fault and sensor fault in nonlinear systems

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D ETECTION AND I SOLATION OF A S ENSOR D RIFT F AULT

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  1. DETECTION AND ISOLATION OF A SENSOR DRIFT FAULT Yilun Zhou Prof. Thomas Parisini Imperial College London UKACC PhD Presentation Showcase

  2. Introduction • Background • Complex control systems and demand for fault tolerance • Process fault and sensor fault in nonlinear systems • Model-based fault detection and isolation schemes (FDI) • Time evolution of faults: abrupt and incipient faults • Objectives • A class of nonlinear systems with sensor drift faults • Adaptive and less conservative threshold UKACC PhD Presentation Showcase

  3. Problem Formulation and Methodology • A class of nonlinear MIMO system with sensor drift faults • Detection Estimators and Isolation Estimators • Residual and Threshold >> crossing s Drift faults, s Isolators. d Any crossing excludes faulty assumption. UKACC PhD Presentation Showcase

  4. Simulation Result • Detection At t = 13s, a fault occurs. Then the fault is detected at t = 16.64s UKACC PhD Presentation Showcase

  5. Simulation Result • Isolation There is a crossing in isolator 2. The possibility of fault occurrence in Sensor 2 is excluded. Drift fault occurred in Sensor 3 UKACC PhD Presentation Showcase

  6. Conclusion and Future work • Conclusion: • Adaptive threshold increases robustness and stability • Fault compensation in isolators improves performance • Future Work: • Design a FDI approach for a hybrid sensor fault • Design a distributed fault diagnosis approach • Design a benchmark test using the FDI scheme UKACC PhD Presentation Showcase

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